Telephony Backend Engineer

About Yubi

Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it.

In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million.

In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. All of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance.

Key Responsibilities:

• Develop and maintain APIs using Node.js and FastAPI for bot orchestration and deployment.
• Implement and optimize CI/CD pipelines (GitHub, Docker, AWS ECR) for automated bot deployments.
• Manage and operate Kubernetes clusters (AWS EKS or K3S) for voice bot hosting and scaling.
• Integrate voice bots with ASR, TTS, and telephony systems (e.g., AWS Connect).
• Implement real-time monitoring and alerting for bot performance, latency, and system health.
• Collaborate on ensuring high availability and fault tolerance for 10M+ daily user interactions.
• Work with the Campaign Management Platform to schedule and execute outbound voice campaigns.

Requirements

• Required Qualifications:
• 3-5 years of experience in MLOps, DevOps, or a related software engineering role.
• Strong proficiency in Node.js and Python (FastAPI) for backend development.
• Strong proficiency in Redis, NATS, Dragonfly, context and cached management.
• Strong proficiency in MongoDB, SQLite or any database.
• Solid experience with Docker and containerization.
• Hands-on experience with Kubernetes (EKS or K3S) for deployment and operations.
• Practical experience with AWS cloud services (EC2, EKS, ECR, S3, CloudWatch).
• Experience with CI/CD pipelines.
• Preferred Qualifications (Added Advantages):
• Exposure to frontend development (e.g., React).
• Familiarity with Voice AI Architecture (ASR/TTS/LLM) or telephony systems.
• Experience with LLM serving frameworks
• Exposure to campaign management or outbound dialer systems.